Casal2 Test Case MPD comparisons for HOK

1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 8 Casal2 model configurations (3 BetaDiff, 2 CppAD, and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6). The Casal2 CppAD models have a tolerance value of 1e-9.

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

• one stock, ages 1 - 17
• one area, although many characteristics are separated into “east” and “west”
• years 1972 - 2018, projection years 2019 - 2023
• five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
• five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
• five migration processes, which have age-specific proportions specified
• sex-specific natural mortality-at-age is double exponential
• area-specific von Bertalanffy age-length relationship
• area-specific length-weight relationship (\(W = aL^b\))
• area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
• ageing error is specified
• surveys with double normal selectivity
• six area-specific fisheries with double normal selectivity

Observation data include:

• survey indices
• survey proportions-at-age
• fishery proportions-at-age

Parameters estimated include:

• area-specific B0
• parameters for the natural mortality-at-age ogive
• catchability (q) for the surveys
• parameters for the selectivity curves for the surveys
• parameters for the selectivity curves for the fisheries
• migration proportions by age
• area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Thu Jul 15 12:46:28 2021"
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-redhat-linux-gnu (64-bit)
## Running under: CentOS Linux 7 (Core)
## 
## Matrix products: default
## BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_GB.UTF_8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] casal2_1.0     casal_2.30     ggthemes_4.2.4 ggmcmc_1.5.1.1 tidyr_1.1.3   
##  [6] ggplot2_3.3.5  gridExtra_2.3  coda_0.19-4    rlist_0.4.6.1  huxtable_5.4.0
## [11] dplyr_1.0.7    plyr_1.8.6     devtools_2.4.2 usethis_2.0.1 
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-44    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.27      utf8_1.2.1        
##  [9] R6_2.5.0           evaluate_0.14      pillar_1.6.1       rlang_0.4.11      
## [13] data.table_1.14.0  callr_3.7.0        jquerylib_0.1.4    rmarkdown_2.9     
## [17] desc_1.3.0         stringr_1.4.0      munsell_0.5.0      compiler_3.6.0    
## [21] xfun_0.24          pkgconfig_2.0.3    pkgbuild_1.2.0     htmltools_0.5.1.1 
## [25] tidyselect_1.1.1   tibble_3.1.2       reshape_0.8.8      fansi_0.5.0       
## [29] crayon_1.4.1       withr_2.4.2        grid_3.6.0         jsonlite_1.7.2    
## [33] GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.0    DBI_1.1.1         
## [37] magrittr_2.0.1     scales_1.1.1       cli_2.5.0          stringi_1.7.2     
## [41] cachem_1.0.5       fs_1.5.0           remotes_2.4.0      testthat_3.0.4    
## [45] bslib_0.2.5.1      ellipsis_0.3.2     generics_0.1.0     vctrs_0.3.8       
## [49] RColorBrewer_1.1-2 tools_3.6.0        glue_1.4.2         purrr_0.3.4       
## [53] processx_3.5.2     pkgload_1.2.1      fastmap_1.1.0      yaml_2.2.1        
## [57] colorspace_2.0-2   sessioninfo_1.1.1  memoise_2.0.0      knitr_1.33        
## [61] sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')

source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates

rownames	Base_Model	Sensitivity_1	Percent_Diff
q[CSacous].q	0.43120	0.43120	0.000
q[WCacous].q	0.30030	0.30020	0.033
q[CRsum].q	0.07431	0.07431	0.000
q[SAsum].q	0.05925	0.05925	0.000
q[SAaut].q	0.06717	0.06717	0.000
relative_abundance[CRsumbio].cv_process_error	0.14050	0.14050	0.000
relative_abundance[SAsumbio].cv_process_error	0.43060	0.43060	0.000
log_B0_total	14.34000	14.34000	0.000
B0_prop_stock1	0.32870	0.32870	0.000
natural_mortality.all	0.29600	0.29600	0.000
selectivity[Wspsl].shift_a	-0.21740	-0.21740	0.000
recruitment[E].YCS1	0.44780	0.44780	0.000
recruitment[E].YCS2	0.72680	0.72680	0.000
recruitment[E].YCS3	0.78450	0.78450	0.000
recruitment[E].YCS4	1.36000	1.36000	0.000
recruitment[E].YCS5	0.98770	0.98780	-0.010
recruitment[E].YCS6	0.32930	0.32930	0.000
recruitment[E].YCS7	0.44720	0.44720	0.000
recruitment[E].YCS8	0.26560	0.26560	0.000
recruitment[E].YCS9	0.43420	0.43420	0.000
recruitment[E].YCS10	0.48800	0.48800	0.000
recruitment[E].YCS11	0.39570	0.39570	0.000
recruitment[E].YCS12	0.21790	0.21790	0.000
recruitment[E].YCS13	1.03600	1.03600	0.000
recruitment[E].YCS14	0.95890	0.95890	0.000
recruitment[E].YCS15	0.42900	0.42900	0.000
recruitment[E].YCS16	0.13810	0.13810	0.000
recruitment[E].YCS17	0.37500	0.37500	0.000
recruitment[E].YCS18	0.39170	0.39160	0.026
recruitment[E].YCS19	0.38310	0.38310	0.000
recruitment[E].YCS20	0.56290	0.56290	0.000
recruitment[E].YCS21	0.26400	0.26400	0.000
recruitment[E].YCS22	0.28450	0.28450	0.000
recruitment[E].YCS23	0.45000	0.45000	0.000
recruitment[E].YCS24	0.25310	0.25310	0.000
recruitment[E].YCS25	0.06000	0.06000	0.000
recruitment[E].YCS26	0.46220	0.46220	0.000
recruitment[E].YCS27	0.16160	0.16160	0.000
recruitment[E].YCS28	0.26690	0.26690	0.000
recruitment[E].YCS29	0.50040	0.50040	0.000
recruitment[E].YCS30	0.52000	0.52000	0.000
recruitment[E].YCS31	0.50880	0.50880	0.000
recruitment[E].YCS32	0.60060	0.60060	0.000
recruitment[E].YCS33	0.52210	0.52210	0.000
recruitment[E].YCS34	0.37300	0.37300	0.000
recruitment[E].YCS35	0.52680	0.52680	0.000
recruitment[E].YCS36	0.15860	0.15860	0.000
recruitment[E].YCS37	0.66060	0.66060	0.000
recruitment[E].YCS38	0.15600	0.15600	0.000
recruitment[E].YCS39	0.18580	0.18580	0.000
recruitment[E].YCS40	0.73060	0.73060	0.000
recruitment[E].YCS41	0.73910	0.73900	0.014
recruitment[E].YCS42	1.19500	1.19500	0.000
recruitment[W].YCS1	0.45700	0.45700	0.000
recruitment[W].YCS2	0.82220	0.82220	0.000
recruitment[W].YCS3	0.67000	0.67000	0.000
recruitment[W].YCS4	0.65390	0.65390	0.000
recruitment[W].YCS5	0.46590	0.46590	0.000
recruitment[W].YCS6	0.51510	0.51510	0.000
recruitment[W].YCS7	0.57820	0.57820	0.000
recruitment[W].YCS8	0.47330	0.47330	0.000
recruitment[W].YCS9	0.87190	0.87190	0.000
recruitment[W].YCS10	0.83640	0.83650	-0.012
recruitment[W].YCS11	0.32020	0.32020	0.000
recruitment[W].YCS12	0.16500	0.16500	0.000
recruitment[W].YCS13	1.47600	1.47600	0.000
recruitment[W].YCS14	0.77270	0.77280	-0.013
recruitment[W].YCS15	0.08135	0.08135	0.000
recruitment[W].YCS16	0.08158	0.08158	0.000
recruitment[W].YCS17	0.89280	0.89280	0.000
recruitment[W].YCS18	1.26800	1.26800	0.000
recruitment[W].YCS19	0.37720	0.37720	0.000
recruitment[W].YCS20	0.95940	0.95940	0.000
recruitment[W].YCS21	0.22110	0.22110	0.000
recruitment[W].YCS22	0.19720	0.19720	0.000
recruitment[W].YCS23	0.23790	0.23800	-0.042
recruitment[W].YCS24	0.20290	0.20290	0.000
recruitment[W].YCS25	0.06000	0.06000	0.000
recruitment[W].YCS26	0.37300	0.37300	0.000
recruitment[W].YCS27	0.09548	0.09548	0.000
recruitment[W].YCS28	0.79560	0.79560	0.000
recruitment[W].YCS29	0.46520	0.46520	0.000
recruitment[W].YCS30	0.51660	0.51660	0.000
recruitment[W].YCS31	0.51130	0.51130	0.000
recruitment[W].YCS32	0.75540	0.75540	0.000
recruitment[W].YCS33	0.63890	0.63890	0.000
recruitment[W].YCS34	0.61690	0.61690	0.000
recruitment[W].YCS35	0.57840	0.57840	0.000
recruitment[W].YCS36	0.14550	0.14550	0.000
recruitment[W].YCS37	0.97480	0.97480	0.000
recruitment[W].YCS38	0.16020	0.16020	0.000
recruitment[W].YCS39	0.24440	0.24440	0.000
recruitment[W].YCS40	2.19700	2.19700	0.000
recruitment[W].YCS41	2.15200	2.15200	0.000
recruitment[W].YCS42	1.19500	1.19500	0.000
migration[Whome].rates_all1	0.32780	0.32780	0.000
migration[Whome].rates_all2	0.30780	0.30780	0.000
migration[Whome].rates_all3	0.47620	0.47620	0.000
migration[Whome].rates_all4	0.14180	0.14180	0.000
migration[Whome].rates_all5	0.46850	0.46840	0.021
migration[Whome].rates_all6	0.74980	0.75030	-0.067
migration[Whome].rates_all7	0.79470	0.78840	0.793
migration[Whome].rates_all8	1.00000	1.00000	0.000
migration[Espmg].rates_all1	0.00566	0.00566	0.000
migration[Espmg].rates_all2	0.16020	0.16020	0.000
migration[Espmg].rates_all3	0.32410	0.32410	0.000
migration[Espmg].rates_all4	0.43120	0.43120	0.000
migration[Espmg].rates_all5	0.38550	0.38550	0.000
migration[Espmg].rates_all6	0.46540	0.46530	0.021
migration[Espmg].rates_all7	0.59900	0.59900	0.000
migration[Espmg].rates_all8	0.60780	0.60780	0.000
migration[Wspmg].rates_all1	0.10610	0.10610	0.000
migration[Wspmg].rates_all2	0.28770	0.28770	0.000
migration[Wspmg].rates_all3	0.27080	0.27080	0.000
migration[Wspmg].rates_all4	0.45530	0.45530	0.000
migration[Wspmg].rates_all5	0.48470	0.48470	0.000
migration[Wspmg].rates_all6	0.52710	0.52710	0.000
migration[Wspmg].rates_all7	0.66060	0.66060	0.000
migration[Wspmg].rates_all8	0.59630	0.59630	0.000
selectivity[Enspsl].all1	3.56700	3.56700	0.000
selectivity[Enspsl].all2	1.22100	1.22100	0.000
selectivity[Enspsl].all3	15.71000	15.71000	0.000
selectivity[Wnspsl].all1	5.34100	5.34100	0.000
selectivity[Wnspsl].all2	2.83900	2.83900	0.000
selectivity[Wnspsl].all3	13.38000	13.38000	0.000
selectivity[Espsl].all1	10.88000	10.88000	0.000
selectivity[Espsl].all2	11.68000	11.68000	0.000
selectivity[Espsl].all3	3.98200	3.98200	0.000
selectivity[CRsl].all1	1.00000	1.00000	0.000
selectivity[CRsl].all2	1.00000	1.00000	0.000
selectivity[CRsl].all3	9.30000	9.30000	0.000
selectivity[SAsl].all1	14.25000	14.25000	0.000
selectivity[SAsl].all2	8.75500	8.75600	-0.011
selectivity[SAsl].all3	1.31500	1.31500	0.000

Casal2 parameter estimates

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	cppad_casal_flags_on	cppad_casal_flags_off	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.42786	0.42724	0.43116	0.43420	0.43420	0.42724	0.42724	0.43116
catchability[WCacous].q	0.31244	0.31284	0.30024	0.29704	0.29704	0.31284	0.31284	0.30024
catchability[CRsum].q	0.06811	0.06832	0.07431	0.07599	0.07599	0.06832	0.06832	0.07431
catchability[SAsum].q	0.06706	0.06717	0.05925	0.05603	0.05603	0.06717	0.06717	0.05925
catchability[SAaut].q	0.07563	0.07578	0.06717	0.06351	0.06351	0.07578	0.07578	0.06717
observation[CRsumbio].process_error	0.14089	0.14094	0.14048	0.14018	0.14018	0.14094	0.14094	0.14048
observation[SAsumbio].process_error	0.42381	0.42364	0.43061	0.43092	0.43092	0.42364	0.42364	0.43061
process[recruit_E].b0	547497.00000	548395.00000	555125.00000	554646.00000	554646.00000	548395.00000	548396.00000	555125.00000
process[recruit_W].b0	1083360.00000	1082670.00000	1133680.00000	1147420.00000	1147420.00000	1082670.00000	1082670.00000	1133680.00000
process[Instant_mortality].m{west.sa}	0.31293	0.31271	0.29598	0.29179	0.29179	0.31271	0.31271	0.29598
time_varying[shifted_mu].a	-0.22959	-0.22921	-0.21744	-0.21691	-0.21691	-0.22921	-0.22921	-0.21744
process[recruit_E].ycs_values{1975}	0.44589	0.44537	0.44782	0.44745	0.44745	0.44537	0.44538	0.44782
process[recruit_E].ycs_values{1976}	0.73052	0.72939	0.72680	0.72423	0.72423	0.72939	0.72939	0.72680
process[recruit_E].ycs_values{1977}	0.79332	0.79231	0.78454	0.78092	0.78092	0.79231	0.79231	0.78454
process[recruit_E].ycs_values{1978}	1.38827	1.38644	1.36001	1.35041	1.35041	1.38644	1.38645	1.36001
process[recruit_E].ycs_values{1979}	1.00372	1.00265	0.98776	0.98203	0.98203	1.00265	1.00265	0.98776
process[recruit_E].ycs_values{1980}	0.33462	0.33437	0.32932	0.32761	0.32761	0.33437	0.33437	0.32932
process[recruit_E].ycs_values{1981}	0.45535	0.45502	0.44723	0.44472	0.44472	0.45502	0.45502	0.44723
process[recruit_E].ycs_values{1982}	0.26989	0.26974	0.26556	0.26428	0.26428	0.26974	0.26974	0.26556
process[recruit_E].ycs_values{1983}	0.44100	0.44106	0.43418	0.43212	0.43212	0.44106	0.44106	0.43418
process[recruit_E].ycs_values{1984}	0.49422	0.49412	0.48804	0.48613	0.48613	0.49412	0.49412	0.48804
process[recruit_E].ycs_values{1985}	0.40014	0.40010	0.39570	0.39436	0.39436	0.40010	0.40010	0.39570
process[recruit_E].ycs_values{1986}	0.21982	0.21978	0.21791	0.21736	0.21736	0.21978	0.21978	0.21791
process[recruit_E].ycs_values{1987}	1.04095	1.04131	1.03640	1.03439	1.03439	1.04131	1.04131	1.03640
process[recruit_E].ycs_values{1988}	0.96315	0.96346	0.95891	0.95757	0.95757	0.96346	0.96346	0.95891
process[recruit_E].ycs_values{1989}	0.43112	0.43095	0.42899	0.42864	0.42864	0.43095	0.43095	0.42899
process[recruit_E].ycs_values{1990}	0.13798	0.13797	0.13810	0.13817	0.13817	0.13797	0.13797	0.13810
process[recruit_E].ycs_values{1991}	0.37335	0.37385	0.37500	0.37513	0.37513	0.37385	0.37385	0.37500
process[recruit_E].ycs_values{1992}	0.38757	0.38858	0.39164	0.39254	0.39254	0.38858	0.38858	0.39164
process[recruit_E].ycs_values{1993}	0.37988	0.37995	0.38310	0.38408	0.38408	0.37995	0.37995	0.38310
process[recruit_E].ycs_values{1994}	0.55726	0.55794	0.56285	0.56442	0.56442	0.55794	0.55794	0.56285
process[recruit_E].ycs_values{1995}	0.26178	0.26178	0.26399	0.26473	0.26473	0.26178	0.26178	0.26399
process[recruit_E].ycs_values{1996}	0.28248	0.28251	0.28447	0.28518	0.28518	0.28251	0.28251	0.28447
process[recruit_E].ycs_values{1997}	0.44759	0.44781	0.45003	0.45107	0.45107	0.44781	0.44781	0.45003
process[recruit_E].ycs_values{1998}	0.25249	0.25264	0.25307	0.25346	0.25346	0.25264	0.25264	0.25307
process[recruit_E].ycs_values{1999}	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000
process[recruit_E].ycs_values{2000}	0.45987	0.46013	0.46220	0.46312	0.46312	0.46013	0.46013	0.46220
process[recruit_E].ycs_values{2001}	0.16087	0.16086	0.16165	0.16193	0.16193	0.16086	0.16086	0.16165
process[recruit_E].ycs_values{2002}	0.26560	0.26611	0.26689	0.26718	0.26718	0.26611	0.26611	0.26689
process[recruit_E].ycs_values{2003}	0.49943	0.49959	0.50038	0.50087	0.50087	0.49959	0.49959	0.50038
process[recruit_E].ycs_values{2004}	0.52031	0.52053	0.52003	0.52021	0.52021	0.52053	0.52053	0.52003
process[recruit_E].ycs_values{2005}	0.50754	0.50764	0.50882	0.50936	0.50936	0.50764	0.50764	0.50882
process[recruit_E].ycs_values{2006}	0.59986	0.60013	0.60055	0.60098	0.60098	0.60013	0.60013	0.60055
process[recruit_E].ycs_values{2007}	0.52080	0.52087	0.52215	0.52269	0.52269	0.52087	0.52087	0.52215
process[recruit_E].ycs_values{2008}	0.37047	0.37115	0.37300	0.37365	0.37365	0.37115	0.37115	0.37300
process[recruit_E].ycs_values{2009}	0.52786	0.52790	0.52681	0.52700	0.52700	0.52790	0.52790	0.52681
process[recruit_E].ycs_values{2010}	0.15690	0.15695	0.15864	0.15912	0.15912	0.15695	0.15695	0.15864
process[recruit_E].ycs_values{2011}	0.66029	0.66047	0.66058	0.66140	0.66140	0.66047	0.66047	0.66058
process[recruit_E].ycs_values{2012}	0.15559	0.15554	0.15600	0.15627	0.15627	0.15554	0.15554	0.15600
process[recruit_E].ycs_values{2013}	0.18518	0.18518	0.18584	0.18619	0.18619	0.18518	0.18518	0.18584
process[recruit_E].ycs_values{2014}	0.72808	0.72844	0.73062	0.73181	0.73181	0.72844	0.72844	0.73062
process[recruit_E].ycs_values{2015}	0.75231	0.75587	0.73900	0.73482	0.73482	0.75587	0.75587	0.73900
process[recruit_E].ycs_values{2016}	1.18939	1.18886	1.19515	1.19548	1.19548	1.18886	1.18886	1.19515
process[recruit_W].ycs_values{1975}	0.45872	0.45869	0.45702	0.45378	0.45378	0.45869	0.45869	0.45702
process[recruit_W].ycs_values{1976}	0.81433	0.81422	0.82218	0.83725	0.83725	0.81422	0.81422	0.82218
process[recruit_W].ycs_values{1977}	0.68494	0.68515	0.67000	0.67742	0.67742	0.68514	0.68515	0.67000
process[recruit_W].ycs_values{1978}	0.66905	0.66937	0.65390	0.65220	0.65220	0.66937	0.66937	0.65390
process[recruit_W].ycs_values{1979}	0.47276	0.47307	0.46590	0.46524	0.46524	0.47307	0.47307	0.46590
process[recruit_W].ycs_values{1980}	0.52052	0.52064	0.51512	0.51447	0.51447	0.52064	0.52064	0.51512
process[recruit_W].ycs_values{1981}	0.58328	0.58344	0.57824	0.57669	0.57669	0.58344	0.58344	0.57824
process[recruit_W].ycs_values{1982}	0.47440	0.47462	0.47328	0.47274	0.47274	0.47462	0.47462	0.47328
process[recruit_W].ycs_values{1983}	0.87375	0.87309	0.87192	0.87083	0.87083	0.87309	0.87309	0.87192
process[recruit_W].ycs_values{1984}	0.83738	0.83633	0.83646	0.83450	0.83450	0.83633	0.83633	0.83646
process[recruit_W].ycs_values{1985}	0.31975	0.31942	0.32024	0.31974	0.31974	0.31942	0.31942	0.32024
process[recruit_W].ycs_values{1986}	0.16484	0.16493	0.16497	0.16508	0.16508	0.16493	0.16493	0.16497
process[recruit_W].ycs_values{1987}	1.48066	1.48007	1.47555	1.47826	1.47826	1.48007	1.48007	1.47555
process[recruit_W].ycs_values{1988}	0.77530	0.77454	0.77276	0.77430	0.77430	0.77454	0.77454	0.77276
process[recruit_W].ycs_values{1989}	0.08147	0.08148	0.08134	0.08138	0.08138	0.08148	0.08148	0.08134
process[recruit_W].ycs_values{1990}	0.08180	0.08183	0.08158	0.08150	0.08150	0.08183	0.08183	0.08158
process[recruit_W].ycs_values{1991}	0.89189	0.89197	0.89280	0.89449	0.89449	0.89197	0.89197	0.89280
process[recruit_W].ycs_values{1992}	1.26783	1.26757	1.26778	1.26684	1.26684	1.26757	1.26757	1.26778
process[recruit_W].ycs_values{1993}	0.37648	0.37652	0.37722	0.37692	0.37692	0.37652	0.37652	0.37722
process[recruit_W].ycs_values{1994}	0.95557	0.95579	0.95939	0.95968	0.95968	0.95579	0.95579	0.95939
process[recruit_W].ycs_values{1995}	0.22015	0.22026	0.22113	0.22108	0.22108	0.22026	0.22026	0.22113
process[recruit_W].ycs_values{1996}	0.19626	0.19632	0.19718	0.19696	0.19696	0.19632	0.19632	0.19718
process[recruit_W].ycs_values{1997}	0.23678	0.23643	0.23795	0.23766	0.23766	0.23643	0.23643	0.23795
process[recruit_W].ycs_values{1998}	0.20061	0.20041	0.20292	0.20306	0.20306	0.20041	0.20041	0.20292
process[recruit_W].ycs_values{1999}	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000	0.06000
process[recruit_W].ycs_values{2000}	0.37133	0.37089	0.37304	0.37293	0.37293	0.37089	0.37089	0.37304
process[recruit_W].ycs_values{2001}	0.09510	0.09506	0.09548	0.09549	0.09549	0.09506	0.09506	0.09548
process[recruit_W].ycs_values{2002}	0.79576	0.79553	0.79558	0.79480	0.79480	0.79553	0.79553	0.79558
process[recruit_W].ycs_values{2003}	0.46588	0.46570	0.46517	0.46452	0.46452	0.46570	0.46570	0.46517
process[recruit_W].ycs_values{2004}	0.51784	0.51761	0.51662	0.51586	0.51586	0.51761	0.51761	0.51662
process[recruit_W].ycs_values{2005}	0.51314	0.51305	0.51126	0.51035	0.51035	0.51305	0.51305	0.51126
process[recruit_W].ycs_values{2006}	0.75487	0.75475	0.75544	0.75494	0.75494	0.75475	0.75475	0.75544
process[recruit_W].ycs_values{2007}	0.63676	0.63692	0.63891	0.63887	0.63887	0.63692	0.63692	0.63891
process[recruit_W].ycs_values{2008}	0.61614	0.61564	0.61686	0.61662	0.61662	0.61564	0.61564	0.61686
process[recruit_W].ycs_values{2009}	0.57292	0.57305	0.57841	0.57930	0.57930	0.57305	0.57305	0.57841
process[recruit_W].ycs_values{2010}	0.14626	0.14618	0.14547	0.14523	0.14523	0.14618	0.14618	0.14547
process[recruit_W].ycs_values{2011}	0.96669	0.96708	0.97478	0.97556	0.97556	0.96708	0.96708	0.97478
process[recruit_W].ycs_values{2012}	0.15897	0.15909	0.16016	0.16026	0.16026	0.15909	0.15909	0.16016
process[recruit_W].ycs_values{2013}	0.24389	0.24402	0.24444	0.24450	0.24450	0.24402	0.24402	0.24444
process[recruit_W].ycs_values{2014}	2.18474	2.18651	2.19657	2.19862	2.19862	2.18651	2.18651	2.19657
process[recruit_W].ycs_values{2015}	2.14969	2.14758	2.15204	2.15408	2.15408	2.14758	2.14758	2.15204
process[recruit_W].ycs_values{2016}	1.18962	1.18909	1.19539	1.19572	1.19572	1.18909	1.18909	1.19539
selectivity[sel_Whome].v{1}	0.32136	0.32193	0.32783	0.33095	0.33095	0.32193	0.32193	0.32783
selectivity[sel_Whome].v{2}	0.28386	0.28491	0.30778	0.31420	0.31420	0.28491	0.28491	0.30778
selectivity[sel_Whome].v{3}	0.45775	0.45972	0.47620	0.47701	0.47701	0.45972	0.45972	0.47620
selectivity[sel_Whome].v{4}	0.13502	0.13549	0.14184	0.13931	0.13931	0.13549	0.13549	0.14184
selectivity[sel_Whome].v{5}	0.43169	0.43782	0.46836	0.47567	0.47567	0.43782	0.43782	0.46836
selectivity[sel_Whome].v{6}	0.71891	0.70822	0.75026	0.74804	0.74804	0.70822	0.70821	0.75026
selectivity[sel_Whome].v{7}	0.75957	0.99989	0.78841	0.73641	0.73641	0.99991	0.99990	0.78841
selectivity[sel_Espmg].v{1}	0.00564	0.00564	0.00566	0.00563	0.00563	0.00564	0.00564	0.00566
selectivity[sel_Espmg].v{2}	0.15901	0.15912	0.16021	0.15979	0.15979	0.15912	0.15912	0.16021
selectivity[sel_Espmg].v{3}	0.32056	0.32082	0.32411	0.32376	0.32376	0.32082	0.32082	0.32411
selectivity[sel_Espmg].v{4}	0.42513	0.42547	0.43123	0.43131	0.43131	0.42547	0.42547	0.43123
selectivity[sel_Espmg].v{5}	0.37927	0.37953	0.38546	0.38589	0.38589	0.37953	0.37953	0.38546
selectivity[sel_Espmg].v{6}	0.45847	0.45876	0.46535	0.46590	0.46590	0.45876	0.45876	0.46535
selectivity[sel_Espmg].v{7}	0.59044	0.59081	0.59902	0.59969	0.59969	0.59081	0.59081	0.59902
selectivity[sel_Espmg].v{8}	0.61064	0.61100	0.60778	0.60635	0.60635	0.61100	0.61100	0.60778
selectivity[sel_Wspmg].v{1}	0.10553	0.10556	0.10614	0.10546	0.10546	0.10556	0.10556	0.10614
selectivity[sel_Wspmg].v{2}	0.29139	0.29136	0.28774	0.28554	0.28554	0.29136	0.29136	0.28774
selectivity[sel_Wspmg].v{3}	0.27066	0.27068	0.27076	0.27081	0.27081	0.27068	0.27068	0.27076
selectivity[sel_Wspmg].v{4}	0.45520	0.45527	0.45525	0.45573	0.45573	0.45527	0.45527	0.45525
selectivity[sel_Wspmg].v{5}	0.48434	0.48421	0.48466	0.48520	0.48520	0.48421	0.48421	0.48466
selectivity[sel_Wspmg].v{6}	0.52398	0.52496	0.52711	0.52827	0.52827	0.52496	0.52496	0.52711
selectivity[sel_Wspmg].v{7}	0.65591	0.65298	0.66062	0.66264	0.66264	0.65298	0.65298	0.66062
selectivity[sel_Wspmg].v{8}	0.60101	0.60153	0.59627	0.59400	0.59400	0.60153	0.60153	0.59627
selectivity[Enspsl].mu	3.57227	3.57318	3.56716	3.55740	3.55740	3.57318	3.57318	3.56715
selectivity[Enspsl].sigma_l	1.22206	1.22245	1.22108	1.21712	1.21712	1.22245	1.22245	1.22108
selectivity[Enspsl].sigma_r	50.00000	49.99990	15.71370	14.62680	14.62680	50.00000	50.00000	15.71370
selectivity[Wnspsl].mu	5.32952	5.32840	5.34117	5.32047	5.32047	5.32840	5.32840	5.34117
selectivity[Wnspsl].sigma_l	2.77846	2.77815	2.83934	2.83259	2.83259	2.77815	2.77815	2.83934
selectivity[Wnspsl].sigma_r	49.99570	49.99980	13.37890	12.39220	12.39220	49.99150	49.99970	13.37890
selectivity[Espsl].mu	11.25460	11.25670	10.87880	10.79120	10.79120	11.25670	11.25670	10.87880
selectivity[Espsl].sigma_l	10.85940	10.86740	11.67750	11.97730	11.97730	10.86740	10.86740	11.67750
selectivity[Espsl].sigma_r	4.02912	4.02625	3.98165	3.97747	3.97747	4.02625	4.02625	3.98165
selectivity[CRsl].mu	1.00000	1.00000	1.00000	1.00000	1.00000	1.00000	1.00000	1.00000
selectivity[CRsl].sigma_l	46.52210	46.52190	46.02310	25.50000	25.50000	46.52230	46.52210	46.02280
selectivity[CRsl].sigma_r	10.08780	10.09280	9.30042	9.12800	9.12800	10.09280	10.09280	9.30042
selectivity[SAsl].mu	14.86480	14.86850	14.25230	13.48440	13.48440	14.86840	14.86850	14.25230
selectivity[SAsl].sigma_l	8.69281	8.69468	8.75558	8.37005	8.37005	8.69469	8.69468	8.75558
selectivity[SAsl].sigma_r	1.00000	1.00000	1.31519	1.85902	1.85902	1.00000	1.00000	1.31519

Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	cppad_casal_flags_on	cppad_casal_flags_off	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.000	0.145	-0.772	-1.481	-1.481	0.145	0.145	-0.772
catchability[WCacous].q	0.000	-0.128	3.904	4.930	4.930	-0.128	-0.128	3.904
catchability[CRsum].q	0.000	-0.299	-9.090	-11.565	-11.565	-0.299	-0.299	-9.090
catchability[SAsum].q	0.000	-0.172	11.645	16.445	16.445	-0.172	-0.172	11.645
catchability[SAaut].q	0.000	-0.189	11.196	16.030	16.030	-0.189	-0.189	11.196
observation[CRsumbio].process_error	0.000	-0.035	0.292	0.505	0.505	-0.035	-0.035	0.292
observation[SAsumbio].process_error	0.000	0.040	-1.604	-1.677	-1.677	0.040	0.040	-1.604
process[recruit_E].b0	0.000	-0.164	-1.393	-1.306	-1.306	-0.164	-0.164	-1.393
process[recruit_W].b0	0.000	0.064	-4.645	-5.913	-5.913	0.064	0.064	-4.645
process[Instant_mortality].m{west.sa}	0.000	0.070	5.415	6.756	6.756	0.070	0.070	5.415
time_varying[shifted_mu].a	0.000	0.166	5.293	5.526	5.526	0.166	0.166	5.293
process[recruit_E].ycs_values{1975}	0.000	0.117	-0.431	-0.349	-0.349	0.117	0.116	-0.431
process[recruit_E].ycs_values{1976}	0.000	0.156	0.510	0.862	0.862	0.155	0.156	0.510
process[recruit_E].ycs_values{1977}	0.000	0.127	1.107	1.563	1.563	0.128	0.127	1.107
process[recruit_E].ycs_values{1978}	0.000	0.132	2.036	2.727	2.727	0.132	0.131	2.036
process[recruit_E].ycs_values{1979}	0.000	0.107	1.590	2.161	2.161	0.107	0.107	1.590
process[recruit_E].ycs_values{1980}	0.000	0.073	1.584	2.094	2.094	0.073	0.073	1.584
process[recruit_E].ycs_values{1981}	0.000	0.072	1.783	2.333	2.333	0.072	0.072	1.783
process[recruit_E].ycs_values{1982}	0.000	0.055	1.605	2.082	2.082	0.055	0.055	1.605
process[recruit_E].ycs_values{1983}	0.000	-0.013	1.547	2.015	2.015	-0.013	-0.013	1.547
process[recruit_E].ycs_values{1984}	0.000	0.022	1.251	1.637	1.637	0.022	0.022	1.251
process[recruit_E].ycs_values{1985}	0.000	0.009	1.111	1.444	1.444	0.009	0.009	1.111
process[recruit_E].ycs_values{1986}	0.000	0.022	0.872	1.124	1.124	0.022	0.022	0.872
process[recruit_E].ycs_values{1987}	0.000	-0.035	0.437	0.630	0.630	-0.035	-0.035	0.437
process[recruit_E].ycs_values{1988}	0.000	-0.032	0.440	0.579	0.579	-0.032	-0.032	0.440
process[recruit_E].ycs_values{1989}	0.000	0.040	0.495	0.576	0.576	0.040	0.040	0.495
process[recruit_E].ycs_values{1990}	0.000	0.009	-0.091	-0.140	-0.140	0.009	0.009	-0.091
process[recruit_E].ycs_values{1991}	0.000	-0.135	-0.443	-0.477	-0.477	-0.136	-0.136	-0.443
process[recruit_E].ycs_values{1992}	0.000	-0.260	-1.050	-1.282	-1.282	-0.260	-0.260	-1.050
process[recruit_E].ycs_values{1993}	0.000	-0.016	-0.847	-1.104	-1.104	-0.016	-0.016	-0.847
process[recruit_E].ycs_values{1994}	0.000	-0.123	-1.003	-1.284	-1.284	-0.123	-0.123	-1.003
process[recruit_E].ycs_values{1995}	0.000	0.002	-0.842	-1.127	-1.127	0.002	0.002	-0.842
process[recruit_E].ycs_values{1996}	0.000	-0.008	-0.704	-0.953	-0.953	-0.008	-0.008	-0.704
process[recruit_E].ycs_values{1997}	0.000	-0.049	-0.545	-0.778	-0.778	-0.049	-0.049	-0.545
process[recruit_E].ycs_values{1998}	0.000	-0.061	-0.232	-0.384	-0.384	-0.061	-0.061	-0.232
process[recruit_E].ycs_values{1999}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
process[recruit_E].ycs_values{2000}	0.000	-0.057	-0.506	-0.707	-0.707	-0.057	-0.057	-0.506
process[recruit_E].ycs_values{2001}	0.000	0.007	-0.482	-0.656	-0.656	0.007	0.007	-0.482
process[recruit_E].ycs_values{2002}	0.000	-0.191	-0.486	-0.594	-0.594	-0.191	-0.191	-0.486
process[recruit_E].ycs_values{2003}	0.000	-0.031	-0.190	-0.287	-0.287	-0.031	-0.031	-0.190
process[recruit_E].ycs_values{2004}	0.000	-0.043	0.054	0.018	0.018	-0.043	-0.043	0.054
process[recruit_E].ycs_values{2005}	0.000	-0.021	-0.254	-0.358	-0.358	-0.021	-0.021	-0.254
process[recruit_E].ycs_values{2006}	0.000	-0.046	-0.116	-0.187	-0.187	-0.046	-0.046	-0.116
process[recruit_E].ycs_values{2007}	0.000	-0.014	-0.259	-0.364	-0.364	-0.014	-0.014	-0.259
process[recruit_E].ycs_values{2008}	0.000	-0.184	-0.685	-0.859	-0.859	-0.184	-0.184	-0.685
process[recruit_E].ycs_values{2009}	0.000	-0.007	0.199	0.163	0.163	-0.007	-0.007	0.199
process[recruit_E].ycs_values{2010}	0.000	-0.033	-1.107	-1.417	-1.417	-0.033	-0.033	-1.107
process[recruit_E].ycs_values{2011}	0.000	-0.028	-0.044	-0.168	-0.168	-0.028	-0.028	-0.044
process[recruit_E].ycs_values{2012}	0.000	0.031	-0.263	-0.440	-0.440	0.030	0.031	-0.263
process[recruit_E].ycs_values{2013}	0.000	-0.002	-0.357	-0.547	-0.547	-0.002	-0.002	-0.357
process[recruit_E].ycs_values{2014}	0.000	-0.049	-0.349	-0.511	-0.511	-0.049	-0.049	-0.349
process[recruit_E].ycs_values{2015}	0.000	-0.473	1.769	2.325	2.325	-0.473	-0.473	1.769
process[recruit_E].ycs_values{2016}	0.000	0.045	-0.484	-0.512	-0.512	0.045	0.045	-0.484
process[recruit_W].ycs_values{1975}	0.000	0.006	0.371	1.076	1.076	0.006	0.006	0.371
process[recruit_W].ycs_values{1976}	0.000	0.013	-0.963	-2.814	-2.814	0.014	0.014	-0.963
process[recruit_W].ycs_values{1977}	0.000	-0.030	2.180	1.098	1.098	-0.030	-0.030	2.180
process[recruit_W].ycs_values{1978}	0.000	-0.047	2.265	2.520	2.520	-0.048	-0.048	2.265
process[recruit_W].ycs_values{1979}	0.000	-0.067	1.451	1.589	1.589	-0.067	-0.067	1.451
process[recruit_W].ycs_values{1980}	0.000	-0.023	1.038	1.163	1.163	-0.023	-0.023	1.038
process[recruit_W].ycs_values{1981}	0.000	-0.027	0.865	1.130	1.130	-0.027	-0.027	0.865
process[recruit_W].ycs_values{1982}	0.000	-0.047	0.237	0.350	0.350	-0.047	-0.047	0.237
process[recruit_W].ycs_values{1983}	0.000	0.076	0.209	0.334	0.334	0.076	0.076	0.209
process[recruit_W].ycs_values{1984}	0.000	0.125	0.109	0.343	0.343	0.125	0.125	0.109
process[recruit_W].ycs_values{1985}	0.000	0.103	-0.153	0.005	0.005	0.103	0.103	-0.153
process[recruit_W].ycs_values{1986}	0.000	-0.055	-0.076	-0.142	-0.142	-0.055	-0.055	-0.076
process[recruit_W].ycs_values{1987}	0.000	0.040	0.345	0.162	0.162	0.040	0.040	0.345
process[recruit_W].ycs_values{1988}	0.000	0.099	0.327	0.128	0.128	0.098	0.099	0.327
process[recruit_W].ycs_values{1989}	0.000	-0.003	0.158	0.119	0.119	-0.003	-0.003	0.158
process[recruit_W].ycs_values{1990}	0.000	-0.037	0.267	0.359	0.359	-0.037	-0.037	0.267
process[recruit_W].ycs_values{1991}	0.000	-0.009	-0.102	-0.291	-0.291	-0.009	-0.009	-0.102
process[recruit_W].ycs_values{1992}	0.000	0.021	0.004	0.078	0.078	0.021	0.021	0.004
process[recruit_W].ycs_values{1993}	0.000	-0.011	-0.196	-0.117	-0.117	-0.011	-0.011	-0.196
process[recruit_W].ycs_values{1994}	0.000	-0.023	-0.400	-0.430	-0.430	-0.023	-0.023	-0.400
process[recruit_W].ycs_values{1995}	0.000	-0.054	-0.446	-0.425	-0.425	-0.054	-0.054	-0.446
process[recruit_W].ycs_values{1996}	0.000	-0.028	-0.468	-0.358	-0.358	-0.028	-0.028	-0.468
process[recruit_W].ycs_values{1997}	0.000	0.147	-0.496	-0.374	-0.374	0.147	0.147	-0.496
process[recruit_W].ycs_values{1998}	0.000	0.099	-1.151	-1.223	-1.223	0.099	0.099	-1.151
process[recruit_W].ycs_values{1999}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
process[recruit_W].ycs_values{2000}	0.000	0.117	-0.463	-0.433	-0.433	0.117	0.117	-0.463
process[recruit_W].ycs_values{2001}	0.000	0.037	-0.409	-0.417	-0.417	0.037	0.037	-0.409
process[recruit_W].ycs_values{2002}	0.000	0.029	0.022	0.121	0.121	0.029	0.029	0.022
process[recruit_W].ycs_values{2003}	0.000	0.039	0.153	0.293	0.293	0.039	0.039	0.153
process[recruit_W].ycs_values{2004}	0.000	0.045	0.235	0.382	0.382	0.045	0.045	0.235
process[recruit_W].ycs_values{2005}	0.000	0.017	0.366	0.543	0.543	0.017	0.017	0.366
process[recruit_W].ycs_values{2006}	0.000	0.015	-0.076	-0.009	-0.009	0.015	0.015	-0.076
process[recruit_W].ycs_values{2007}	0.000	-0.026	-0.338	-0.331	-0.331	-0.025	-0.026	-0.338
process[recruit_W].ycs_values{2008}	0.000	0.080	-0.118	-0.079	-0.079	0.081	0.081	-0.118
process[recruit_W].ycs_values{2009}	0.000	-0.024	-0.958	-1.114	-1.114	-0.024	-0.024	-0.958
process[recruit_W].ycs_values{2010}	0.000	0.055	0.538	0.702	0.702	0.055	0.055	0.538
process[recruit_W].ycs_values{2011}	0.000	-0.041	-0.837	-0.918	-0.918	-0.041	-0.041	-0.837
process[recruit_W].ycs_values{2012}	0.000	-0.075	-0.750	-0.809	-0.809	-0.075	-0.075	-0.750
process[recruit_W].ycs_values{2013}	0.000	-0.052	-0.224	-0.250	-0.250	-0.052	-0.052	-0.224
process[recruit_W].ycs_values{2014}	0.000	-0.081	-0.541	-0.635	-0.635	-0.081	-0.081	-0.541
process[recruit_W].ycs_values{2015}	0.000	0.098	-0.109	-0.204	-0.204	0.098	0.098	-0.109
process[recruit_W].ycs_values{2016}	0.000	0.045	-0.485	-0.513	-0.513	0.045	0.045	-0.485
selectivity[sel_Whome].v{1}	0.000	-0.177	-2.014	-2.983	-2.983	-0.177	-0.177	-2.014
selectivity[sel_Whome].v{2}	0.000	-0.371	-8.428	-10.686	-10.686	-0.371	-0.371	-8.428
selectivity[sel_Whome].v{3}	0.000	-0.431	-4.031	-4.208	-4.208	-0.431	-0.431	-4.031
selectivity[sel_Whome].v{4}	0.000	-0.346	-5.049	-3.176	-3.176	-0.346	-0.345	-5.049
selectivity[sel_Whome].v{5}	0.000	-1.420	-8.494	-10.188	-10.188	-1.420	-1.420	-8.494
selectivity[sel_Whome].v{6}	0.000	1.488	-4.361	-4.052	-4.052	1.488	1.488	-4.361
selectivity[sel_Whome].v{7}	0.000	-31.639	-3.797	3.049	3.049	-31.642	-31.640	-3.797
selectivity[sel_Espmg].v{1}	0.000	-0.081	-0.413	0.012	0.012	-0.081	-0.081	-0.413
selectivity[sel_Espmg].v{2}	0.000	-0.073	-0.757	-0.491	-0.491	-0.073	-0.073	-0.757
selectivity[sel_Espmg].v{3}	0.000	-0.078	-1.107	-0.997	-0.997	-0.078	-0.078	-1.107
selectivity[sel_Espmg].v{4}	0.000	-0.079	-1.434	-1.454	-1.454	-0.079	-0.079	-1.434
selectivity[sel_Espmg].v{5}	0.000	-0.069	-1.633	-1.747	-1.747	-0.069	-0.069	-1.633
selectivity[sel_Espmg].v{6}	0.000	-0.063	-1.500	-1.620	-1.620	-0.063	-0.063	-1.500
selectivity[sel_Espmg].v{7}	0.000	-0.062	-1.452	-1.566	-1.566	-0.062	-0.062	-1.452
selectivity[sel_Espmg].v{8}	0.000	-0.060	0.468	0.703	0.703	-0.060	-0.060	0.468
selectivity[sel_Wspmg].v{1}	0.000	-0.033	-0.586	0.065	0.065	-0.033	-0.033	-0.586
selectivity[sel_Wspmg].v{2}	0.000	0.010	1.252	2.007	2.007	0.010	0.010	1.252
selectivity[sel_Wspmg].v{3}	0.000	-0.008	-0.037	-0.057	-0.057	-0.008	-0.008	-0.037
selectivity[sel_Wspmg].v{4}	0.000	-0.016	-0.012	-0.118	-0.118	-0.016	-0.016	-0.012
selectivity[sel_Wspmg].v{5}	0.000	0.026	-0.066	-0.179	-0.179	0.026	0.026	-0.066
selectivity[sel_Wspmg].v{6}	0.000	-0.187	-0.597	-0.820	-0.820	-0.187	-0.187	-0.597
selectivity[sel_Wspmg].v{7}	0.000	0.447	-0.718	-1.025	-1.025	0.447	0.447	-0.718
selectivity[sel_Wspmg].v{8}	0.000	-0.088	0.788	1.166	1.166	-0.088	-0.088	0.788
selectivity[Enspsl].mu	0.000	-0.025	0.143	0.416	0.416	-0.025	-0.025	0.143
selectivity[Enspsl].sigma_l	0.000	-0.032	0.080	0.404	0.404	-0.032	-0.032	0.080
selectivity[Enspsl].sigma_r	0.000	0.000	68.573	70.746	70.746	0.000	0.000	68.573
selectivity[Wnspsl].mu	0.000	0.021	-0.219	0.170	0.170	0.021	0.021	-0.219
selectivity[Wnspsl].sigma_l	0.000	0.011	-2.191	-1.948	-1.948	0.011	0.011	-2.191
selectivity[Wnspsl].sigma_r	0.000	-0.008	73.240	75.213	75.213	0.008	-0.008	73.240
selectivity[Espsl].mu	0.000	-0.019	3.339	4.117	4.117	-0.019	-0.019	3.339
selectivity[Espsl].sigma_l	0.000	-0.074	-7.534	-10.294	-10.294	-0.074	-0.074	-7.534
selectivity[Espsl].sigma_r	0.000	0.071	1.178	1.282	1.282	0.071	0.071	1.178
selectivity[CRsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
selectivity[CRsl].sigma_l	0.000	0.000	1.073	45.187	45.187	-0.000	0.000	1.073
selectivity[CRsl].sigma_r	0.000	-0.050	7.805	9.514	9.514	-0.050	-0.050	7.805
selectivity[SAsl].mu	0.000	-0.025	4.120	9.286	9.286	-0.024	-0.025	4.120
selectivity[SAsl].sigma_l	0.000	-0.022	-0.722	3.713	3.713	-0.022	-0.022	-0.722
selectivity[SAsl].sigma_r	0.000	0.000	-31.519	-85.902	-85.902	0.000	0.000	-31.519

CASAL objective function component values

Component	Base_Model	Sensitivity_1
CRsumbio	-31.030	-31.030
CSacous	-9.835	-9.836
SAautbio	-3.984	-3.984
SAsumbio	-6.146	-6.146
WCacous	-5.916	-5.916
CRsumage	323.800	323.800
SAautage	35.120	35.120
SAsumage	221.100	221.100
EnspOLF	24.280	24.280
Enspage	256.100	256.100
Espage	581.500	581.500
WnspOLF	70.250	70.250
Wnspage	157.000	157.000
Wspage	364.800	364.800
pspawn	-13.130	-13.130
pspawn_1993	-6.015	-6.015
prior_on_q[CSacous].q	-0.839	-0.839
prior_on_q[WCacous].q	-1.202	-1.202
prior_on_q[CRsum].q	-2.207	-2.207
prior_on_q[SAsum].q	-1.557	-1.557
prior_on_q[SAaut].q	-1.762	-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error	0.000	0.000
prior_on_relative_abundance[SAsumbio].cv_process_error	0.000	0.000
prior_on_log_B0_total	0.000	0.000
prior_on_B0_prop_stock1	12.560	12.560
prior_on_natural_mortality.all	-1.217	-1.217
prior_on_selectivity[Wspsl].shift_a	0.378	0.378
prior_on_recruitment[E].YCS	-13.750	-13.750
prior_on_recruitment[W].YCS	-1.785	-1.785
prior_on_migration[Whome].rates_all	0.000	0.000
prior_on_migration[Espmg].rates_all	0.000	0.000
prior_on_migration[Wspmg].rates_all	0.000	0.000
prior_on_selectivity[Enspsl].all	0.000	0.000
prior_on_selectivity[Wnspsl].all	0.000	0.000
prior_on_selectivity[Espsl].all	0.000	0.000
prior_on_selectivity[CRsl].all	0.000	0.000
prior_on_selectivity[SAsl].all	0.000	0.000
Umax_Ensp1	0.000	0.000
Umax_Ensp2	0.000	0.000
Umax_Wnsp1	0.000	0.000
Umax_Wnsp2	0.000	0.000
Umax_Esp	0.000	0.000
Umax_Wsp	0.000	0.000
YCS.eq.16	0.000	0.000
sp.migr	0.013	0.013
Total	1947.000	1947.000

Casal2 objective function component values

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	cppad_casal_flags_on	cppad_casal_flags_off	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
observation->CSacous-1991	2.344	2.342	2.404	2.417	2.417	2.342	2.342	2.404
observation->CSacous-1993	-0.577	-0.577	-0.588	-0.591	-0.591	-0.577	-0.577	-0.588
observation->CSacous-1994	-0.016	-0.016	-0.030	-0.034	-0.034	-0.016	-0.016	-0.030
observation->CSacous-1995	-0.562	-0.562	-0.567	-0.568	-0.568	-0.562	-0.562	-0.567
observation->CSacous-1996	-0.027	-0.026	0.013	0.022	0.022	-0.027	-0.027	0.013
observation->CSacous-1997	-0.912	-0.912	-0.899	-0.895	-0.895	-0.912	-0.912	-0.899
observation->CSacous-1998	-0.055	-0.054	-0.004	0.008	0.008	-0.054	-0.054	-0.004
observation->CSacous-1999	-1.025	-1.025	-1.012	-1.009	-1.009	-1.025	-1.025	-1.012
observation->CSacous-2001	-1.217	-1.217	-1.211	-1.210	-1.210	-1.217	-1.217	-1.211
observation->CSacous-2002	-0.297	-0.297	-0.338	-0.349	-0.349	-0.297	-0.297	-0.338
observation->CSacous-2003	-0.845	-0.845	-0.863	-0.868	-0.868	-0.845	-0.845	-0.863
observation->CSacous-2005	-0.929	-0.929	-0.927	-0.927	-0.927	-0.929	-0.929	-0.927
observation->CSacous-2006	-0.939	-0.939	-0.950	-0.953	-0.953	-0.939	-0.939	-0.950
observation->CSacous-2007	-0.623	-0.623	-0.600	-0.593	-0.593	-0.623	-0.623	-0.600
observation->CSacous-2008	-1.094	-1.094	-1.125	-1.133	-1.133	-1.094	-1.094	-1.125
observation->CSacous-2009	-0.186	-0.185	-0.110	-0.089	-0.089	-0.185	-0.185	-0.110
observation->CSacous-2011	-1.021	-1.021	-1.000	-0.995	-0.995	-1.021	-1.021	-1.000
observation->CSacous-2013	-0.892	-0.892	-0.855	-0.846	-0.846	-0.892	-0.892	-0.855
observation->CSacous-2015	-0.191	-0.190	-0.150	-0.142	-0.142	-0.190	-0.190	-0.150
observation->CSacous-2017	-1.020	-1.020	-1.021	-1.021	-1.021	-1.020	-1.020	-1.021
observation->WCacous-1988	-0.588	-0.588	-0.588	-0.589	-0.589	-0.588	-0.588	-0.588
observation->WCacous-1989	-0.184	-0.183	-0.168	-0.159	-0.159	-0.183	-0.183	-0.168
observation->WCacous-1990	-0.331	-0.332	-0.327	-0.323	-0.323	-0.332	-0.332	-0.327
observation->WCacous-1991	-0.425	-0.425	-0.425	-0.425	-0.425	-0.425	-0.425	-0.425
observation->WCacous-1992	-0.744	-0.744	-0.744	-0.744	-0.744	-0.744	-0.744	-0.744
observation->WCacous-1993	-0.371	-0.369	-0.374	-0.380	-0.380	-0.369	-0.369	-0.374
observation->WCacous-1997	-0.055	-0.054	-0.043	-0.041	-0.041	-0.054	-0.054	-0.043
observation->WCacous-2000	-1.264	-1.265	-1.272	-1.273	-1.273	-1.265	-1.265	-1.272
observation->WCacous-2012	-0.906	-0.906	-0.896	-0.889	-0.889	-0.906	-0.906	-0.896
observation->WCacous-2013	-1.079	-1.079	-1.079	-1.078	-1.078	-1.079	-1.079	-1.079
observation->CRsumbio-1992	-1.634	-1.634	-1.647	-1.650	-1.650	-1.634	-1.634	-1.647
observation->CRsumbio-1993	0.041	0.040	0.043	0.033	0.033	0.040	0.040	0.043
observation->CRsumbio-1994	-1.761	-1.760	-1.760	-1.760	-1.760	-1.760	-1.760	-1.760
observation->CRsumbio-1995	-1.431	-1.425	-1.406	-1.403	-1.403	-1.425	-1.425	-1.406
observation->CRsumbio-1996	-1.691	-1.690	-1.699	-1.701	-1.701	-1.690	-1.690	-1.699
observation->CRsumbio-1997	-0.609	-0.607	-0.635	-0.642	-0.642	-0.607	-0.607	-0.635
observation->CRsumbio-1998	-1.205	-1.203	-1.210	-1.211	-1.211	-1.203	-1.203	-1.210
observation->CRsumbio-1999	-0.950	-0.953	-0.919	-0.914	-0.914	-0.953	-0.953	-0.919
observation->CRsumbio-2000	-1.629	-1.629	-1.632	-1.633	-1.633	-1.629	-1.629	-1.632
observation->CRsumbio-2001	-1.773	-1.773	-1.775	-1.776	-1.776	-1.773	-1.773	-1.775
observation->CRsumbio-2002	-1.205	-1.209	-1.206	-1.206	-1.206	-1.209	-1.209	-1.206
observation->CRsumbio-2003	-1.748	-1.749	-1.744	-1.744	-1.744	-1.749	-1.749	-1.744
observation->CRsumbio-2004	-0.821	-0.818	-0.803	-0.802	-0.802	-0.818	-0.818	-0.803
observation->CRsumbio-2005	-1.470	-1.471	-1.477	-1.477	-1.477	-1.471	-1.471	-1.477
observation->CRsumbio-2006	-1.314	-1.314	-1.306	-1.299	-1.299	-1.314	-1.314	-1.306
observation->CRsumbio-2007	-0.726	-0.727	-0.756	-0.767	-0.767	-0.727	-0.727	-0.756
observation->CRsumbio-2008	-0.376	-0.373	-0.402	-0.409	-0.409	-0.373	-0.373	-0.402
observation->CRsumbio-2009	-0.587	-0.586	-0.559	-0.547	-0.547	-0.586	-0.586	-0.559
observation->CRsumbio-2010	-1.350	-1.349	-1.359	-1.362	-1.362	-1.349	-1.349	-1.359
observation->CRsumbio-2011	-1.094	-1.096	-1.105	-1.109	-1.109	-1.096	-1.096	-1.105
observation->CRsumbio-2012	-1.438	-1.439	-1.448	-1.451	-1.451	-1.439	-1.439	-1.448
observation->CRsumbio-2013	-1.494	-1.494	-1.491	-1.490	-1.490	-1.494	-1.494	-1.491
observation->CRsumbio-2014	-1.768	-1.768	-1.770	-1.772	-1.772	-1.768	-1.768	-1.770
observation->CRsumbio-2016	-1.411	-1.410	-1.411	-1.414	-1.414	-1.410	-1.410	-1.411
observation->CRsumbio-2018	-1.552	-1.552	-1.554	-1.556	-1.556	-1.552	-1.552	-1.554
observation->SAsumbio-1992	-0.596	-0.597	-0.588	-0.593	-0.593	-0.597	-0.597	-0.588
observation->SAsumbio-1993	-0.314	-0.314	-0.309	-0.319	-0.319	-0.314	-0.314	-0.309
observation->SAsumbio-1994	0.194	0.196	0.186	0.166	0.166	0.196	0.196	0.186
observation->SAsumbio-2001	-0.834	-0.835	-0.822	-0.825	-0.825	-0.835	-0.835	-0.822
observation->SAsumbio-2002	-0.794	-0.794	-0.777	-0.774	-0.774	-0.794	-0.794	-0.777
observation->SAsumbio-2003	-0.836	-0.837	-0.825	-0.822	-0.822	-0.837	-0.837	-0.825
observation->SAsumbio-2004	0.735	0.732	0.734	0.739	0.739	0.732	0.732	0.734
observation->SAsumbio-2005	-0.255	-0.258	-0.218	-0.201	-0.201	-0.258	-0.258	-0.218
observation->SAsumbio-2006	-0.598	-0.600	-0.558	-0.553	-0.553	-0.600	-0.600	-0.558
observation->SAsumbio-2007	0.637	0.636	0.654	0.626	0.626	0.636	0.636	0.654
observation->SAsumbio-2008	-0.463	-0.461	-0.462	-0.449	-0.449	-0.461	-0.461	-0.462
observation->SAsumbio-2009	-0.584	-0.585	-0.583	-0.583	-0.583	-0.585	-0.585	-0.583
observation->SAsumbio-2010	-0.146	-0.143	-0.147	-0.147	-0.147	-0.143	-0.143	-0.147
observation->SAsumbio-2012	-0.848	-0.848	-0.835	-0.834	-0.834	-0.848	-0.848	-0.835
observation->SAsumbio-2013	-0.796	-0.797	-0.786	-0.789	-0.789	-0.797	-0.797	-0.786
observation->SAsumbio-2015	-0.201	-0.200	-0.189	-0.175	-0.175	-0.200	-0.200	-0.189
observation->SAsumbio-2017	-0.638	-0.638	-0.620	-0.616	-0.616	-0.638	-0.638	-0.620
observation->SAautbio-1992	-1.460	-1.459	-1.450	-1.445	-1.445	-1.459	-1.459	-1.450
observation->SAautbio-1996	-1.232	-1.233	-1.250	-1.260	-1.260	-1.233	-1.233	-1.250
observation->SAautbio-1998	-1.306	-1.308	-1.284	-1.275	-1.275	-1.308	-1.308	-1.284
observation->Espage-1988	19.790	19.793	19.640	19.608	19.608	19.793	19.793	19.640
observation->Espage-1989	15.857	15.858	15.862	15.864	15.864	15.858	15.858	15.862
observation->Espage-1990	21.486	21.488	21.446	21.435	21.435	21.488	21.488	21.446
observation->Espage-1991	20.640	20.641	20.612	20.605	20.605	20.641	20.641	20.612
observation->Espage-1992	24.092	24.089	24.020	24.008	24.008	24.089	24.089	24.020
observation->Espage-1993	19.304	19.305	19.328	19.334	19.334	19.305	19.305	19.328
observation->Espage-1994	20.522	20.528	20.503	20.497	20.497	20.528	20.528	20.503
observation->Espage-1995	22.530	22.541	22.559	22.563	22.563	22.541	22.541	22.559
observation->Espage-1996	18.590	18.590	18.577	18.574	18.574	18.590	18.590	18.577
observation->Espage-1997	20.978	20.974	20.964	20.966	20.966	20.974	20.974	20.964
observation->Espage-1998	20.579	20.587	20.611	20.614	20.614	20.587	20.587	20.611
observation->Espage-1999	22.875	22.886	22.862	22.854	22.854	22.886	22.886	22.862
observation->Espage-2000	23.321	23.321	23.314	23.307	23.307	23.321	23.321	23.314
observation->Espage-2001	20.735	20.735	20.773	20.778	20.778	20.735	20.735	20.773
observation->Espage-2002	26.243	26.248	26.287	26.297	26.297	26.248	26.248	26.287
observation->Espage-2003	19.118	19.120	19.120	19.118	19.118	19.120	19.120	19.120
observation->Espage-2004	22.698	22.692	22.642	22.638	22.638	22.692	22.692	22.642
observation->Espage-2005	26.120	26.122	26.070	26.068	26.068	26.122	26.122	26.070
observation->Espage-2006	23.245	23.242	23.149	23.130	23.130	23.242	23.242	23.149
observation->Espage-2007	25.277	25.274	25.210	25.204	25.204	25.274	25.274	25.210
observation->Espage-2008	22.166	22.167	22.129	22.124	22.124	22.167	22.167	22.129
observation->Espage-2009	18.691	18.691	18.690	18.691	18.691	18.691	18.691	18.690
observation->Espage-2010	21.856	21.855	21.851	21.852	21.852	21.855	21.855	21.851
observation->Espage-2014	20.614	20.616	20.648	20.657	20.657	20.616	20.616	20.648
observation->Espage-2015	21.820	21.823	21.870	21.877	21.877	21.823	21.823	21.870
observation->Espage-2016	21.203	21.204	21.204	21.204	21.204	21.204	21.204	21.204
observation->Espage-2017	21.578	21.575	21.563	21.561	21.561	21.575	21.575	21.563
observation->Wspage-1988	15.729	15.724	15.753	15.716	15.716	15.724	15.724	15.753
observation->Wspage-1989	11.558	11.555	11.566	11.558	11.558	11.555	11.555	11.566
observation->Wspage-1990	11.750	11.752	11.790	11.804	11.804	11.752	11.752	11.790
observation->Wspage-1991	13.037	13.036	13.051	13.070	13.070	13.036	13.036	13.051
observation->Wspage-1992	10.179	10.178	10.170	10.173	10.173	10.178	10.178	10.170
observation->Wspage-1993	10.571	10.569	10.579	10.577	10.577	10.569	10.569	10.579
observation->Wspage-1994	9.918	9.918	9.924	9.923	9.923	9.918	9.918	9.924
observation->Wspage-1995	13.399	13.403	13.396	13.393	13.393	13.403	13.403	13.396
observation->Wspage-1996	11.841	11.840	11.844	11.848	11.848	11.840	11.840	11.844
observation->Wspage-1997	11.233	11.230	11.243	11.249	11.249	11.230	11.230	11.243
observation->Wspage-1998	11.761	11.761	11.762	11.764	11.764	11.761	11.761	11.762
observation->Wspage-1999	11.976	11.975	11.981	11.986	11.986	11.975	11.975	11.981
observation->Wspage-2000	11.256	11.256	11.260	11.263	11.263	11.256	11.256	11.260
observation->Wspage-2001	12.181	12.179	12.201	12.208	12.208	12.179	12.179	12.201
observation->Wspage-2002	9.732	9.731	9.745	9.750	9.750	9.731	9.731	9.745
observation->Wspage-2003	9.555	9.555	9.556	9.557	9.557	9.555	9.555	9.556
observation->Wspage-2004	14.342	14.340	14.304	14.294	14.294	14.340	14.340	14.304
observation->Wspage-2005	14.934	14.932	14.977	14.985	14.985	14.932	14.932	14.977
observation->Wspage-2006	13.817	13.817	13.872	13.879	13.879	13.817	13.817	13.872
observation->Wspage-2007	11.500	11.498	11.516	11.517	11.517	11.498	11.498	11.516
observation->Wspage-2008	12.196	12.195	12.194	12.193	12.193	12.195	12.195	12.194
observation->Wspage-2009	12.635	12.631	12.594	12.587	12.587	12.631	12.631	12.594
observation->Wspage-2010	11.317	11.316	11.299	11.295	11.295	11.316	11.316	11.299
observation->Wspage-2011	11.155	11.154	11.137	11.131	11.131	11.154	11.154	11.137
observation->Wspage-2012	11.866	11.867	11.860	11.860	11.860	11.867	11.867	11.860
observation->Wspage-2013	11.043	11.041	11.065	11.071	11.071	11.041	11.041	11.065
observation->Wspage-2014	12.944	12.944	12.941	12.941	12.941	12.944	12.944	12.941
observation->Wspage-2015	13.136	13.134	13.101	13.092	13.092	13.134	13.134	13.101
observation->Wspage-2016	14.268	14.272	14.273	14.276	14.276	14.272	14.272	14.273
observation->Wspage-2017	13.746	13.745	13.797	13.813	13.813	13.745	13.745	13.797
observation->EnspOLF-1992	4.396	4.397	4.388	4.392	4.392	4.397	4.397	4.388
observation->EnspOLF-1994	6.645	6.647	6.678	6.675	6.675	6.647	6.647	6.678
observation->EnspOLF-1996	7.899	7.897	7.906	7.913	7.913	7.897	7.897	7.906
observation->EnspOLF-1998	5.301	5.301	5.303	5.304	5.304	5.301	5.301	5.303
observation->Enspage-1999	14.331	14.332	14.287	14.277	14.277	14.332	14.332	14.287
observation->Enspage-2000	13.973	13.975	13.960	13.954	13.954	13.975	13.975	13.960
observation->Enspage-2001	13.959	13.979	13.929	13.927	13.927	13.979	13.979	13.929
observation->Enspage-2002	12.087	12.081	12.078	12.085	12.085	12.081	12.081	12.078
observation->Enspage-2003	9.702	9.700	9.706	9.706	9.706	9.700	9.700	9.706
observation->Enspage-2004	12.972	12.966	12.986	12.989	12.989	12.966	12.966	12.986
observation->Enspage-2005	11.009	11.012	11.009	11.002	11.002	11.012	11.012	11.009
observation->Enspage-2006	12.744	12.741	12.712	12.711	12.711	12.741	12.741	12.712
observation->Enspage-2007	11.060	11.061	11.052	11.053	11.053	11.061	11.061	11.052
observation->Enspage-2008	12.100	12.104	12.101	12.101	12.101	12.104	12.104	12.101
observation->Enspage-2009	10.055	10.056	10.055	10.051	10.051	10.056	10.056	10.055
observation->Enspage-2010	17.576	17.581	17.627	17.625	17.625	17.581	17.581	17.627
observation->Enspage-2011	13.402	13.399	13.412	13.420	13.420	13.399	13.399	13.412
observation->Enspage-2012	13.148	13.149	13.134	13.139	13.139	13.149	13.149	13.134
observation->Enspage-2013	16.691	16.694	16.659	16.650	16.650	16.694	16.694	16.659
observation->Enspage-2014	13.868	13.869	13.870	13.862	13.862	13.869	13.869	13.870
observation->Enspage-2015	12.764	12.760	12.776	12.781	12.781	12.760	12.760	12.776
observation->Enspage-2016	19.222	19.224	19.203	19.189	19.189	19.224	19.224	19.203
observation->Enspage-2017	15.552	15.562	15.511	15.491	15.491	15.562	15.562	15.511
observation->WnspOLF-1992	10.124	10.122	10.129	10.143	10.143	10.122	10.122	10.129
observation->WnspOLF-1993	9.047	9.045	8.991	8.993	8.993	9.045	9.045	8.991
observation->WnspOLF-1994	15.931	15.930	15.893	15.906	15.906	15.930	15.930	15.893
observation->WnspOLF-1996	9.784	9.788	9.752	9.765	9.765	9.788	9.788	9.752
observation->WnspOLF-1999	11.553	11.553	11.593	11.583	11.583	11.553	11.553	11.593
observation->WnspOLF-2000	13.817	13.812	13.892	13.884	13.884	13.812	13.812	13.892
observation->Wnspage-2001	8.036	8.032	7.994	7.991	7.991	8.032	8.032	7.994
observation->Wnspage-2002	8.714	8.715	8.701	8.693	8.693	8.715	8.715	8.701
observation->Wnspage-2003	10.473	10.473	10.507	10.497	10.497	10.473	10.473	10.507
observation->Wnspage-2004	7.154	7.155	7.140	7.134	7.134	7.155	7.155	7.140
observation->Wnspage-2006	9.590	9.589	9.551	9.555	9.555	9.589	9.589	9.551
observation->Wnspage-2007	10.860	10.861	10.822	10.821	10.821	10.861	10.861	10.822
observation->Wnspage-2008	12.422	12.425	12.435	12.437	12.437	12.425	12.425	12.435
observation->Wnspage-2009	14.719	14.716	14.790	14.786	14.786	14.716	14.716	14.790
observation->Wnspage-2010	11.405	11.405	11.370	11.364	11.364	11.405	11.405	11.370
observation->Wnspage-2011	11.265	11.267	11.275	11.274	11.274	11.267	11.267	11.275
observation->Wnspage-2012	10.453	10.454	10.465	10.466	10.466	10.454	10.454	10.465
observation->Wnspage-2013	13.634	13.633	13.634	13.636	13.636	13.633	13.633	13.634
observation->Wnspage-2014	12.609	12.608	12.597	12.590	12.590	12.608	12.608	12.597
observation->Wnspage-2016	15.683	15.687	15.722	15.718	15.718	15.687	15.687	15.722
observation->CRsumage-1992	15.570	15.584	15.566	15.558	15.558	15.584	15.584	15.566
observation->CRsumage-1993	10.613	10.616	10.624	10.621	10.621	10.616	10.616	10.624
observation->CRsumage-1994	18.174	18.170	18.130	18.122	18.122	18.170	18.170	18.130
observation->CRsumage-1995	14.287	14.285	14.242	14.238	14.238	14.285	14.285	14.242
observation->CRsumage-1996	11.566	11.567	11.607	11.623	11.623	11.567	11.567	11.607
observation->CRsumage-1997	15.750	15.754	15.688	15.673	15.673	15.754	15.754	15.688
observation->CRsumage-1998	14.686	14.690	14.690	14.699	14.699	14.690	14.690	14.690
observation->CRsumage-1999	12.061	12.061	12.084	12.091	12.091	12.061	12.061	12.084
observation->CRsumage-2000	14.326	14.323	14.283	14.284	14.284	14.323	14.323	14.283
observation->CRsumage-2001	19.651	19.659	19.520	19.511	19.511	19.659	19.659	19.520
observation->CRsumage-2002	10.971	10.969	10.960	10.960	10.960	10.969	10.969	10.960
observation->CRsumage-2003	11.254	11.251	11.210	11.208	11.208	11.251	11.251	11.210
observation->CRsumage-2004	9.556	9.553	9.561	9.570	9.570	9.553	9.553	9.561
observation->CRsumage-2005	12.749	12.753	12.654	12.643	12.643	12.753	12.753	12.654
observation->CRsumage-2006	10.317	10.316	10.317	10.313	10.313	10.316	10.316	10.317
observation->CRsumage-2007	13.561	13.562	13.504	13.498	13.498	13.562	13.562	13.504
observation->CRsumage-2008	11.665	11.661	11.639	11.637	11.637	11.661	11.661	11.639
observation->CRsumage-2009	12.002	12.006	11.965	11.962	11.962	12.006	12.006	11.965
observation->CRsumage-2010	11.052	11.048	11.055	11.050	11.050	11.048	11.048	11.055
observation->CRsumage-2011	12.577	12.579	12.571	12.562	12.562	12.579	12.579	12.571
observation->CRsumage-2012	17.230	17.228	17.141	17.146	17.146	17.228	17.228	17.141
observation->CRsumage-2013	11.845	11.843	11.822	11.812	11.812	11.843	11.843	11.822
observation->CRsumage-2014	11.288	11.286	11.271	11.267	11.267	11.286	11.286	11.271
observation->CRsumage-2016	9.867	9.866	9.847	9.837	9.837	9.866	9.866	9.847
observation->CRsumage-2018	11.935	11.931	11.895	11.884	11.884	11.931	11.931	11.895
observation->SAsumage-1992	12.241	12.246	12.269	12.248	12.248	12.246	12.246	12.269
observation->SAsumage-1993	12.483	12.470	12.502	12.474	12.474	12.470	12.470	12.502
observation->SAsumage-1994	10.808	10.811	10.818	10.808	10.808	10.811	10.811	10.818
observation->SAsumage-2001	12.762	12.749	12.839	12.803	12.803	12.749	12.749	12.839
observation->SAsumage-2002	12.216	12.209	12.254	12.210	12.210	12.209	12.209	12.254
observation->SAsumage-2003	13.388	13.386	13.386	13.323	13.323	13.386	13.386	13.386
observation->SAsumage-2004	11.064	11.067	11.005	10.981	10.981	11.067	11.067	11.005
observation->SAsumage-2005	15.280	15.278	15.386	15.465	15.465	15.278	15.278	15.386
observation->SAsumage-2006	14.110	14.112	14.078	14.111	14.111	14.112	14.112	14.078
observation->SAsumage-2007	10.649	10.649	10.639	10.593	10.593	10.649	10.649	10.639
observation->SAsumage-2008	13.766	13.771	13.836	13.920	13.920	13.771	13.771	13.836
observation->SAsumage-2009	15.520	15.513	15.530	15.565	15.565	15.513	15.513	15.530
observation->SAsumage-2010	15.082	15.081	15.130	15.200	15.200	15.081	15.081	15.130
observation->SAsumage-2012	13.439	13.437	13.479	13.469	13.469	13.437	13.437	13.479
observation->SAsumage-2013	11.956	11.954	11.982	11.976	11.976	11.954	11.954	11.982
observation->SAsumage-2015	13.524	13.522	13.540	13.557	13.557	13.522	13.522	13.540
observation->SAsumage-2017	12.487	12.492	12.478	12.476	12.476	12.492	12.492	12.478
observation->SAautage-1992	11.819	11.809	11.857	11.829	11.829	11.809	11.809	11.857
observation->SAautage-1996	10.450	10.449	10.426	10.453	10.453	10.449	10.449	10.426
observation->SAautage-1998	12.810	12.809	12.835	12.811	12.811	12.809	12.809	12.835
observation->pspawn_1993	-6.016	-6.017	-6.015	-6.021	-6.021	-6.017	-6.017	-6.015
observation->pspawn-1992	-4.852	-4.848	-4.829	-4.817	-4.817	-4.848	-4.848	-4.829
observation->pspawn-1998	-8.291	-8.284	-8.300	-8.306	-8.306	-8.284	-8.284	-8.300
prior->CSacousq->catchability[CSacous].q	-0.847	-0.849	-0.839	-0.831	-0.831	-0.849	-0.849	-0.839
prior->WCacousq->catchability[WCacous].q	-1.163	-1.162	-1.202	-1.212	-1.212	-1.162	-1.162	-1.202
prior->CRsumq->catchability[CRsum].q	-2.153	-2.155	-2.207	-2.217	-2.217	-2.155	-2.155	-2.207
prior->SAsumq->catchability[SAsum].q	-1.760	-1.762	-1.557	-1.450	-1.450	-1.762	-1.762	-1.557
prior->SAautq->catchability[SAaut].q	-1.911	-1.913	-1.762	-1.677	-1.677	-1.913	-1.913	-1.762
prior->CR_process_error->observation[CRsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->SA_process_error->observation[SAsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0	12.545	12.544	12.555	12.562	12.562	12.544	12.544	12.555
prior->M_all->process[Instant_mortality].m{west.sa}	-1.083	-1.085	-1.217	-1.230	-1.230	-1.085	-1.085	-1.217
prior->Wspsl_shift_param->time_varying[shifted_mu].a	0.422	0.420	0.378	0.376	0.376	0.420	0.420	0.378
prior->YCS_E->process[recruit_E].ycs_values{1975}	-0.624	-0.624	-0.623	-0.623	-0.623	-0.624	-0.624	-0.623
prior->YCS_E->process[recruit_E].ycs_values{1976}	-0.314	-0.316	-0.319	-0.323	-0.323	-0.316	-0.316	-0.319
prior->YCS_E->process[recruit_E].ycs_values{1977}	-0.225	-0.227	-0.238	-0.243	-0.243	-0.227	-0.227	-0.238
prior->YCS_E->process[recruit_E].ycs_values{1978}	0.656	0.654	0.615	0.601	0.601	0.654	0.654	0.615
prior->YCS_E->process[recruit_E].ycs_values{1979}	0.086	0.084	0.062	0.053	0.053	0.084	0.084	0.062
prior->YCS_E->process[recruit_E].ycs_values{1980}	-0.630	-0.630	-0.627	-0.625	-0.625	-0.630	-0.630	-0.627
prior->YCS_E->process[recruit_E].ycs_values{1981}	-0.619	-0.619	-0.623	-0.625	-0.625	-0.619	-0.619	-0.623
prior->YCS_E->process[recruit_E].ycs_values{1982}	-0.551	-0.550	-0.542	-0.539	-0.539	-0.550	-0.550	-0.542
prior->YCS_E->process[recruit_E].ycs_values{1983}	-0.627	-0.627	-0.630	-0.631	-0.631	-0.627	-0.627	-0.630
prior->YCS_E->process[recruit_E].ycs_values{1984}	-0.591	-0.591	-0.596	-0.597	-0.597	-0.591	-0.591	-0.596
prior->YCS_E->process[recruit_E].ycs_values{1985}	-0.641	-0.641	-0.642	-0.642	-0.642	-0.641	-0.641	-0.642
prior->YCS_E->process[recruit_E].ycs_values{1986}	-0.408	-0.408	-0.400	-0.398	-0.398	-0.408	-0.408	-0.400
prior->YCS_E->process[recruit_E].ycs_values{1987}	0.142	0.142	0.135	0.132	0.132	0.142	0.142	0.135
prior->YCS_E->process[recruit_E].ycs_values{1988}	0.025	0.026	0.019	0.017	0.017	0.026	0.026	0.019
prior->YCS_E->process[recruit_E].ycs_values{1989}	-0.631	-0.631	-0.632	-0.632	-0.632	-0.631	-0.631	-0.632
prior->YCS_E->process[recruit_E].ycs_values{1990}	0.159	0.159	0.158	0.157	0.157	0.159	0.159	0.158
prior->YCS_E->process[recruit_E].ycs_values{1991}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}	-0.643	-0.643	-0.643	-0.642	-0.642	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}	-0.531	-0.530	-0.525	-0.523	-0.523	-0.530	-0.530	-0.525
prior->YCS_E->process[recruit_E].ycs_values{1995}	-0.534	-0.534	-0.538	-0.540	-0.540	-0.534	-0.534	-0.538
prior->YCS_E->process[recruit_E].ycs_values{1996}	-0.573	-0.574	-0.577	-0.578	-0.578	-0.574	-0.574	-0.577
prior->YCS_E->process[recruit_E].ycs_values{1997}	-0.623	-0.623	-0.622	-0.621	-0.621	-0.623	-0.623	-0.622
prior->YCS_E->process[recruit_E].ycs_values{1998}	-0.511	-0.512	-0.513	-0.514	-0.514	-0.512	-0.512	-0.513
prior->YCS_E->process[recruit_E].ycs_values{1999}	2.014	2.014	2.014	2.014	2.014	2.014	2.014	2.014
prior->YCS_E->process[recruit_E].ycs_values{2000}	-0.616	-0.616	-0.614	-0.614	-0.614	-0.616	-0.616	-0.614
prior->YCS_E->process[recruit_E].ycs_values{2001}	-0.065	-0.065	-0.071	-0.074	-0.074	-0.065	-0.065	-0.071
prior->YCS_E->process[recruit_E].ycs_values{2002}	-0.542	-0.543	-0.545	-0.545	-0.545	-0.543	-0.543	-0.545
prior->YCS_E->process[recruit_E].ycs_values{2003}	-0.586	-0.586	-0.585	-0.585	-0.585	-0.586	-0.586	-0.585
prior->YCS_E->process[recruit_E].ycs_values{2004}	-0.568	-0.568	-0.568	-0.568	-0.568	-0.568	-0.568	-0.568
prior->YCS_E->process[recruit_E].ycs_values{2005}	-0.579	-0.579	-0.578	-0.578	-0.578	-0.579	-0.579	-0.578
prior->YCS_E->process[recruit_E].ycs_values{2006}	-0.483	-0.483	-0.482	-0.482	-0.482	-0.483	-0.483	-0.482
prior->YCS_E->process[recruit_E].ycs_values{2007}	-0.567	-0.567	-0.566	-0.566	-0.566	-0.567	-0.567	-0.566
prior->YCS_E->process[recruit_E].ycs_values{2008}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}	-0.561	-0.561	-0.562	-0.561	-0.561	-0.561	-0.561	-0.562
prior->YCS_E->process[recruit_E].ycs_values{2010}	-0.031	-0.031	-0.046	-0.050	-0.050	-0.031	-0.031	-0.046
prior->YCS_E->process[recruit_E].ycs_values{2011}	-0.408	-0.408	-0.408	-0.407	-0.407	-0.408	-0.408	-0.408
prior->YCS_E->process[recruit_E].ycs_values{2012}	-0.019	-0.019	-0.023	-0.025	-0.025	-0.019	-0.019	-0.023
prior->YCS_E->process[recruit_E].ycs_values{2013}	-0.238	-0.238	-0.242	-0.244	-0.244	-0.238	-0.238	-0.242
prior->YCS_E->process[recruit_E].ycs_values{2014}	-0.317	-0.317	-0.314	-0.312	-0.312	-0.317	-0.317	-0.314
prior->YCS_E->process[recruit_E].ycs_values{2015}	-0.284	-0.279	-0.302	-0.308	-0.308	-0.279	-0.279	-0.302
prior->YCS_E->process[recruit_E].ycs_values{2016}	0.364	0.363	0.373	0.373	0.373	0.363	0.363	0.373
prior->YCS_W->process[recruit_W].ycs_values{1975}	-0.616	-0.616	-0.617	-0.619	-0.619	-0.616	-0.616	-0.617
prior->YCS_W->process[recruit_W].ycs_values{1976}	-0.195	-0.195	-0.184	-0.162	-0.162	-0.195	-0.195	-0.184
prior->YCS_W->process[recruit_W].ycs_values{1977}	-0.376	-0.376	-0.396	-0.386	-0.386	-0.376	-0.376	-0.396
prior->YCS_W->process[recruit_W].ycs_values{1978}	-0.397	-0.396	-0.417	-0.419	-0.419	-0.396	-0.396	-0.417
prior->YCS_W->process[recruit_W].ycs_values{1979}	-0.607	-0.607	-0.612	-0.612	-0.612	-0.607	-0.607	-0.612
prior->YCS_W->process[recruit_W].ycs_values{1980}	-0.568	-0.567	-0.573	-0.573	-0.573	-0.567	-0.567	-0.573
prior->YCS_W->process[recruit_W].ycs_values{1981}	-0.502	-0.502	-0.508	-0.510	-0.510	-0.502	-0.502	-0.508
prior->YCS_W->process[recruit_W].ycs_values{1982}	-0.606	-0.606	-0.607	-0.607	-0.607	-0.606	-0.606	-0.607
prior->YCS_W->process[recruit_W].ycs_values{1983}	-0.108	-0.109	-0.111	-0.112	-0.112	-0.109	-0.109	-0.111
prior->YCS_W->process[recruit_W].ycs_values{1984}	-0.161	-0.163	-0.163	-0.166	-0.166	-0.163	-0.163	-0.163
prior->YCS_W->process[recruit_W].ycs_values{1985}	-0.619	-0.619	-0.620	-0.619	-0.619	-0.619	-0.619	-0.620
prior->YCS_W->process[recruit_W].ycs_values{1986}	-0.097	-0.098	-0.098	-0.099	-0.099	-0.098	-0.098	-0.098
prior->YCS_W->process[recruit_W].ycs_values{1987}	0.789	0.788	0.782	0.785	0.785	0.788	0.788	0.782
prior->YCS_W->process[recruit_W].ycs_values{1988}	-0.251	-0.252	-0.255	-0.252	-0.252	-0.252	-0.252	-0.255
prior->YCS_W->process[recruit_W].ycs_values{1989}	1.207	1.207	1.211	1.210	1.210	1.207	1.207	1.211
prior->YCS_W->process[recruit_W].ycs_values{1990}	1.198	1.197	1.204	1.206	1.206	1.197	1.197	1.204
prior->YCS_W->process[recruit_W].ycs_values{1991}	-0.081	-0.081	-0.080	-0.077	-0.077	-0.081	-0.081	-0.080
prior->YCS_W->process[recruit_W].ycs_values{1992}	0.480	0.480	0.480	0.479	0.479	0.480	0.480	0.480
prior->YCS_W->process[recruit_W].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}	0.014	0.014	0.020	0.020	0.020	0.014	0.014	0.020
prior->YCS_W->process[recruit_W].ycs_values{1995}	-0.409	-0.410	-0.413	-0.413	-0.413	-0.410	-0.410	-0.413
prior->YCS_W->process[recruit_W].ycs_values{1996}	-0.301	-0.301	-0.306	-0.305	-0.305	-0.301	-0.301	-0.306
prior->YCS_W->process[recruit_W].ycs_values{1997}	-0.467	-0.466	-0.471	-0.470	-0.470	-0.466	-0.466	-0.471
prior->YCS_W->process[recruit_W].ycs_values{1998}	-0.323	-0.322	-0.334	-0.335	-0.335	-0.322	-0.322	-0.334
prior->YCS_W->process[recruit_W].ycs_values{1999}	2.014	2.014	2.014	2.014	2.014	2.014	2.014	2.014
prior->YCS_W->process[recruit_W].ycs_values{2000}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}	0.855	0.856	0.846	0.846	0.846	0.856	0.856	0.846
prior->YCS_W->process[recruit_W].ycs_values{2002}	-0.222	-0.222	-0.222	-0.223	-0.223	-0.222	-0.222	-0.222
prior->YCS_W->process[recruit_W].ycs_values{2003}	-0.612	-0.612	-0.612	-0.613	-0.613	-0.612	-0.612	-0.612
prior->YCS_W->process[recruit_W].ycs_values{2004}	-0.570	-0.570	-0.571	-0.572	-0.572	-0.570	-0.570	-0.571
prior->YCS_W->process[recruit_W].ycs_values{2005}	-0.574	-0.574	-0.576	-0.577	-0.577	-0.574	-0.574	-0.576
prior->YCS_W->process[recruit_W].ycs_values{2006}	-0.280	-0.280	-0.279	-0.280	-0.280	-0.280	-0.280	-0.279
prior->YCS_W->process[recruit_W].ycs_values{2007}	-0.438	-0.438	-0.436	-0.436	-0.436	-0.438	-0.438	-0.436
prior->YCS_W->process[recruit_W].ycs_values{2008}	-0.464	-0.464	-0.463	-0.463	-0.463	-0.464	-0.464	-0.463
prior->YCS_W->process[recruit_W].ycs_values{2009}	-0.514	-0.514	-0.508	-0.507	-0.507	-0.514	-0.514	-0.508
prior->YCS_W->process[recruit_W].ycs_values{2010}	0.070	0.071	0.078	0.080	0.080	0.071	0.071	0.078
prior->YCS_W->process[recruit_W].ycs_values{2011}	0.030	0.031	0.043	0.044	0.044	0.031	0.031	0.043
prior->YCS_W->process[recruit_W].ycs_values{2012}	-0.049	-0.050	-0.059	-0.060	-0.060	-0.050	-0.050	-0.059
prior->YCS_W->process[recruit_W].ycs_values{2013}	-0.488	-0.489	-0.490	-0.490	-0.490	-0.489	-0.489	-0.490
prior->YCS_W->process[recruit_W].ycs_values{2014}	1.727	1.730	1.742	1.745	1.745	1.730	1.730	1.742
prior->YCS_W->process[recruit_W].ycs_values{2015}	1.684	1.681	1.687	1.689	1.689	1.681	1.681	1.687
prior->YCS_W->process[recruit_W].ycs_values{2016}	0.364	0.363	0.373	0.373	0.373	0.363	0.363	0.373
prior->sel_Whome->selectivity[sel_Whome].v{1}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{2}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{3}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{4}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{5}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{6}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{7}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_mu->selectivity[Enspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_mu->selectivity[Espsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_mu->selectivity[CRsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_mu->selectivity[SAsl].mu	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->YCS.eq.16	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->sp.migr	0.009	0.009	0.013	0.015	0.015	0.009	0.009	0.013
jacobian->log_sum_b0	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
total_negloglike	1946.800	1946.810	1946.540	1946.550	1946.550	1946.810	1946.810	1946.540

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 9.36192e-07 f = 1946.8"
## [2] "Successful convergence in optimise"             
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 5.11994e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: have converged: t = 9.55405e-10 f = 1946.54"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 72"                                   
##  [5] "Number of objective function evaluations             = 109"     
##  [6] "Number of objective gradient evaluations             = 73"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 109"     
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 73"      
## [11] "Number of Lagrangian Hessian evaluations             = 72"      
## [12] "EXIT: Optimal Solution Found."                                  
## [13] "Number of nonzeros in equality constraint Jacobian...:        0"
## [14] "Number of nonzeros in inequality constraint Jacobian.:      133"
## [15] "Number of nonzeros in Lagrangian Hessian.............:     8911"
## [16] "Number of Iterations....: 16"                                   
## [17] "Number of objective function evaluations             = 22"      
## [18] "Number of objective gradient evaluations             = 17"      
## [19] "Number of equality constraint evaluations            = 0"       
## [20] "Number of inequality constraint evaluations          = 22"      
## [21] "Number of equality constraint Jacobian evaluations   = 0"       
## [22] "Number of inequality constraint Jacobian evaluations = 17"      
## [23] "Number of Lagrangian Hessian evaluations             = 16"      
## [24] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 72"                                   
##  [5] "Number of objective function evaluations             = 109"     
##  [6] "Number of objective gradient evaluations             = 73"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 109"     
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 73"      
## [11] "Number of Lagrangian Hessian evaluations             = 72"      
## [12] "EXIT: Optimal Solution Found."                                  
## [13] "Number of nonzeros in equality constraint Jacobian...:        0"
## [14] "Number of nonzeros in inequality constraint Jacobian.:      133"
## [15] "Number of nonzeros in Lagrangian Hessian.............:     8911"
## [16] "Number of Iterations....: 16"                                   
## [17] "Number of objective function evaluations             = 22"      
## [18] "Number of objective gradient evaluations             = 17"      
## [19] "Number of equality constraint evaluations            = 0"       
## [20] "Number of inequality constraint evaluations          = 22"      
## [21] "Number of equality constraint Jacobian evaluations   = 0"       
## [22] "Number of inequality constraint Jacobian evaluations = 17"      
## [23] "Number of Lagrangian Hessian evaluations             = 16"      
## [24] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## character(0)

## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
## $warnings_found
## [1] 8
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
## $warnings_found
## [1] 9
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.890942874908357 0.996776606630884"

## Warning in min(x): no non-missing arguments to min; returning Inf

## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.939452660139753 0.996798182627236"

## [1] "Casal2 cppad_casal_flags_on parameter correlation range (excluding 1.0): -0.950676943786571 0.99752098518567"

## [1] "Casal2 cppad_casal_flags_off parameter correlation range (excluding 1.0): -0.950676943786571 0.99752098518567"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.883243800438931 0.996698553552037"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.887199176292272 0.996753693490936"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.928187528764059 0.99670453783595"